`TransformerPipelineElement`#

class capymoa.stream.preprocessing.TransformerPipelineElement[source]#

Bases: PipelineElement

Pipeline element that wraps around a transformer

__init__( transformer: Transformer, )[source]#

Initializes the pipeline element with a transformer.

Parameters#

transformer: Transformer: The transformer associated with this pipeline element.

get_input_schema() → Schema | None[source]#: Return the schema the wrapped transformer expects to receive.

get_schema() → Schema | None[source]#: Return the schema of instances leaving the wrapped transformer.

pass_forward( instance: Instance, ) → Instance[source]#

Transforms and returns the provided instance.

Parameters#

instance: Instance: The input instance

Returns#

instance: Instance: The transformed instance

pass_forward_predict( instance: Instance, prediction: Any = None, ) → tuple[Instance, Any][source]#

Transforms and returns the provided instance. Also returns the prediction that was provided.

Parameters#

instance: Instance: The input instance
prediction: Any: Most likely None, but could be anything.

Returns#

Tuple[Instance, Any]: The transformed instance and the prediction that was provided